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Biased estimation and hypothesis testing in linear regression

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Abstract

We consider a test of the simple hypothesis β=β0 based on some biased estimator. Under a certain condition the corresponding test statistic coincides with the usualF-statistic based on the least squares estimator. Surprisingly, this condition is met by several well-known biased estimators.

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References

  • Graybill F. A.: 1976,Theory and Application of the Linear Model, Duxbury Press, North Scituate.

    Google Scholar 

  • Gruber M. H. J.: 1990,Regression Estimators—A Comparative Study, Academic Press, Boston.

    Google Scholar 

  • Hoerl A. E. and Kennard R. W.: 1970, Ridge regression: Biased estimation for nonorthogonal problems,Technometrics 12, 55–67.

    Google Scholar 

  • Mayer L. S. and Willke T. A.: 1973, On biased estimation in linear models,Technometrics 15, 497–508.

    Google Scholar 

  • Trenkler G. and Stahlecker P. 1987, Quasi minimax estimation in the linear regression model,Statistics 18, 219–226.

    Google Scholar 

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Stahlecker, P., Schmidt, K. Biased estimation and hypothesis testing in linear regression. Acta Appl Math 43, 145–151 (1996). https://doi.org/10.1007/BF00046995

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  • DOI: https://doi.org/10.1007/BF00046995

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